Interpret Tree Ensembles

For tree ensembles such as random forests, regularized random forests and gradient boosted trees, this package provides functions for: extracting, measuring and pruning rules; selecting a compact rule set; summarizing rules into a learner; calculating frequent variable interactions; formatting rules in latex code.


News

Version 1.0

  • First version of inTrees.

Version 1.1

  • add typeDecay in pruneSingleRule (relative error increase or error increase)
  • revise the simulate data function (team optimization data)

Version 1.2

  • add support for xgboost
  • add rounding option for rule extraction
  • mute Apriori function when generating frequent patterns
  • Xin Guan and Vadim Khotilovich contributed to this release

Reference manual

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install.packages("inTrees")

1.2 by Houtao Deng, a year ago


Report a bug at https://github.com/softwaredeng/inTrees/issues


Browse source code at https://github.com/cran/inTrees


Authors: Houtao Deng , Xin Guan , Vadim Khotilovich


Documentation:   PDF Manual  


GPL (>= 3) license


Imports RRF, arules, gbm, xtable, xgboost, data.table, methods


Imported by horserule.


See at CRAN